Lang Peng
Impact in
-
- Electrocatalysts for Energy Conversion
-
- 2D Materials and Applications
- Graphene research and applications
- MXene and MAX Phase Materials
Papers in
-
- RNA Research and Splicing 2
-
- Topological Materials and Phenomena 7
- Co-authors
- Ying‐Shuang Fu (7 shared papers)Jing-Jing Xian (6 shared papers)Nannan Yuan (2 shared papers)Jianguo Tang (3 shared papers)Ira B. Black (2 shared papers)Stella Elkabes (2 shared papers)Erkang Cheng (2 shared papers)Pengpeng Liang (2 shared papers)
- Journals
- Journal of Alloys and Compounds (3 papers)Nature Communications (2 papers)Physical review. B. (2 papers)ACS Nano (2 papers)Energy Technology (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Lang Peng
35 papers receiving 793 citations
Peers
Comparison fields: 5 of 109
- Renewable Energy, Sustainability and the Environment 113
- Materials Chemistry 318
- Atomic and Molecular Physics, and Optics 189
- Neurology 44
- Condensed Matter Physics 60
Countries citing papers authored by Lang Peng
This map shows the geographic impact of Lang Peng's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lang Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lang Peng more than expected).
Fields of papers citing papers by Lang Peng
This network shows the impact of papers produced by Lang Peng. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lang Peng. The network helps show where Lang Peng may publish in the future.
Co-authors
The 25 scholars most cited alongside Lang Peng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 128 | |
| 2 | 2019 | 86 | |
| 3 | 2023 | 83 | |
| 4 | 1998 | 66 | |
| 5 | 2015 | 60 | |
| 6 | 2020 | 48 | |
| 7 | 2018 | 42 | |
| 8 | 2023 | 34 | |
| 9 | 2019 | 29 | |
| 10 | 2022 | 29 | |
| 11 | 2016 | 24 | |
| 12 | 2019 | 23 | |
| 13 | 2018 | 21 | |
| 14 | 2020 | 16 | |
| 15 | 2020 | 13 | |
| 16 | 2018 | 13 | |
| 17 | 2021 | 10 | |
| 18 | 2022 | 10 | |
| 19 | 2012 | 9 | |
| 20 | 2024 | 8 |
About Lang Peng
Lang Peng is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Materials Chemistry and Condensed Matter Physics, having authored 37 papers that have together received 811 indexed citations. Recurring topics across this work include Topological Materials and Phenomena (7 papers), Graphene research and applications (4 papers), Physics of Superconductivity and Magnetism (4 papers), Soil erosion and sediment transport (3 papers), 2D Materials and Applications (3 papers), Nerve injury and regeneration (2 papers), RNA Research and Splicing (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (113 citations), Materials Chemistry (318 citations), Atomic and Molecular Physics, and Optics (189 citations), Neurology (44 citations) and Condensed Matter Physics (60 citations). Lang Peng has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Ying‐Shuang Fu, Jing-Jing Xian, Nannan Yuan, Jianguo Tang, Ira B. Black, Stella Elkabes, Erkang Cheng, Pengpeng Liang, Zhangjie Fu and Xing Yang. Their work appears in journals such as Journal of Alloys and Compounds, Nature Communications, Physical review. B., ACS Nano and Energy Technology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.